2008
DOI: 10.1007/s10867-008-9101-4
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Use of Game-Theoretical Methods in Biochemistry and Biophysics

Abstract: Evolutionary game theory can be considered as an extension of the theory of evolutionary optimisation in that two or more organisms (or more generally, units of replication) tend to optimise their properties in an interdependent way. Thus, the outcome of the strategy adopted by one species (e.g., as a result of mutation and selection) depends on the strategy adopted by the other species. In this review, the use of evolutionary game theory for analysing biochemical and biophysical systems is discussed. The pres… Show more

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Cited by 71 publications
(82 citation statements)
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“…In fact, there have been at least two recent predictions that game theory could be useful in the interpretation of biochemical behavior (37,38), and the Azoarcus system in particular was singled out as a good candidate (37). Game theory has been proposed to be manifest at the chemical level (39)(40)(41), but this has never been shown empirically. We thus sought a practical demonstration that this could be the case, reasoning that game theory could augment our ODE analysis by offering a simple fitness-based explanation of how selection could choose, say, molecular cooperation.…”
Section: Significancementioning
confidence: 99%
“…In fact, there have been at least two recent predictions that game theory could be useful in the interpretation of biochemical behavior (37,38), and the Azoarcus system in particular was singled out as a good candidate (37). Game theory has been proposed to be manifest at the chemical level (39)(40)(41), but this has never been shown empirically. We thus sought a practical demonstration that this could be the case, reasoning that game theory could augment our ODE analysis by offering a simple fitness-based explanation of how selection could choose, say, molecular cooperation.…”
Section: Significancementioning
confidence: 99%
“…Classic examples reviewed in [25] include kin selection [26], direct and indirect reciprocity [27,28], network reciprocity [29], as well as group selection [30]. Recently, however, interdisciplinary research linking together knowledge from biology and sociology as well as mathematics and physics has revealed many refinements to these mechanisms and also new means by which the * szolnoki.attila@ttk.mta.hu † matjaz.perc@uni-mb.si successful evolution of cooperation among selfish and unrelated individuals can be understood [31][32][33][34][35][36][37].…”
Section: Introductionmentioning
confidence: 99%
“…These are kin selection, direct and indirect reciprocity, network reciprocity, and group selection. Recent reviews [8][9][10][11] clearly attest to the fact that physics-inspired research has helped refine many of these concepts. In particular, evolutionary games in networks, spurred on by the seminal discovery of spatial reciprocity [12] and, subsequently, * szolnoki.attila@ttk.mta.hu by the discovery that scale-free networks strongly facilitate the evolution of cooperation [13,14], are still receiving ample attention to this day [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”
Section: Introductionmentioning
confidence: 99%